Wuxi, China
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Wuxi, China
iccpr@cbees.net
The ICCPR 2026 technical program will highlight a series of Special Sessions to complement the regular program with new or emerging topics of particular interest to the Computing and Pattern Recognition community.
Prospective organizers of Special Sessions should submit proposals with the following information:
Upon acceptance of the special session proposal, the contributed papers will be submitted in the same format as regular papers. Organizers should not contribute more than one paper to their session.
Proposals will be evaluated based on the timeliness of the topic and on the qualifications of the organizers and of the authors of the contributed papers as well.
The papers in each accepted Special Session will undergo a review process, similar to the other regular papers. Accepted papers will be published by the conference proceedings, inclusion to indexing databases.
It is the responsibility of the organizers to ensure that their Special Session papers meet ICCPR quality standards. In case a paper in a Special Session does not meet the expected quality, it will be rejected and an effort will be made to draw papers from the regular submission process to fill in the gap.
If too many papers for a given Special Session are not accepted in the review process and we are unable to find suitable substitutes from the regular review pool, the Special Session may be canceled.
Here are some suggested topics for the special sessions; other topics are also welcome.
This session focuses on the latest advancements in multimodal foundational models that can process and understand multiple types of data (text, image, audio, video) simultaneously.
This session addresses computer vision applications in industrial settings, including quality inspection, defect detection, robotic guidance, and automated manufacturing systems.
Exploring the application of machine learning, deep learning, and data science techniques in financial markets, risk assessment, fraud detection, and algorithmic trading.
This session focuses on novel machine learning architectures, optimization techniques, and deep learning models for various applications beyond standard neural networks.
Focusing on advanced image processing techniques, including image enhancement, restoration, compression, and their applications in various domains like medical imaging and remote sensing.
Exploring the use of artificial intelligence and pattern recognition techniques in medical diagnosis, treatment planning, and healthcare analytics for improved patient outcomes.
Join us in shaping the research agenda of ICCPR 2026 by organizing a special session on an emerging topic in computing and pattern recognition.
Submit Proposal